Several vulnerabilities have been discovered in the Linux kernel
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Unofficial Hacker News client; not affiliated with Y Combinator.
Several vulnerabilities have been discovered in the Linux kernel
Unofficial Hacker News client; not affiliated with Y Combinator.
romaniitedomum · · focus · HN ↗
biwills · · focus · HN ↗
It was always the case that finding vulnerabilities in software was easier than writting perfect software. I'm hopeful that we can use AI to make software more secure over time. Project Zero [1] and others has shown many times the past few years (pre LLMs) that automated fuzzing and other forms of dynamic analysis are very effective, which bodes well for automated testing via LLMs!
I agree that more code = more bugs overeall, but there are slow moving codebases that run some of the worlds most valuable software. Seems like using AI to find vulnerabilities in that code is a huge win across the board.
[1]: <a href="https://www.google.com/search?q=site%3Aprojectzero.google&q=fuzzing" rel="nofollow">https://www.google.com/search?q=site%3Aprojectzero.google&q=...
romaniitedomum · · focus · HN ↗
I was speaking in the general sense, not of these vulnerabilities specifically. I am of the view that AIs for the foreseeable won't produce code that is any better from a security point of view than something human written, so AIs will produce new vulnerabilities at least as fast as they find them and the rest of us will be faced with massive headaches like the one in the original post.
> It was always the case that finding vulnerabilities in software was easier than writting perfect software. I'm hopeful that we can use AI to make software more secure over time. Project Zero [1] and others has shown many times the past few years (pre LLMs) that automated fuzzing and other forms of dynamic analysis are very effective, which bodes well for automated testing via LLMs!
And yet, we are not seeing a drop-off in new vulnerabilities being discovered. We keep assuming that the list of bugs is getting smaller and we'll find them all eventually, but that is not the case for any software that I know of.
> I agree that more code = more bugs overeall, but there are slow moving codebases that run some of the worlds most valuable software. Seems like using AI to find vulnerabilities in that code is a huge win across the board.
It might be, yet, as I said just above, we are not seeing a drop-off in new vulnerabilities being found. The trickle of vulnerabilities has become a flood across all open source software, and already breakages and problems are occurring as maintainers struggle to keep up. Administrators, likewise, are struggling to keep systems updated. Just a week or so ago a security patch to rsync on RHEL broke rsync so completely that it could no longer handle symbolic links.
Critical CVEs used to be relatively infrequent, but they're becoming a weekly or even daily occurrence. None of us are prepared for this eventuality.
literalAardvark · · focus · HN ↗
It's worth factoring in that AI has gotten better rather quickly, so there's no reason to expect it not to continue to find new bugs even if we've correctly fixed what Mythos found. The search depth is increasing.